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Updated: Jun 26, 2026

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
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Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Technology-Based Interventions for Physical Activity and Sedentary Behaviour in Adults: A Scoping Review.

Mariasole Antonietta Guerriero1, Vittoria Lettieri2, Fiorenzo Moscatelli2

  • 1Department of Humanistic Studies, University of Foggia, 71121 Foggia, Italy.

Journal of Functional Morphology and Kinesiology
|June 25, 2026
PubMed
Summary

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Digital health interventions effectively boost physical activity in adults but show mixed results for reducing sedentary behavior. Tailored, adaptive strategies are crucial for combating prolonged sitting.

Area of Science:

  • Public Health
  • Digital Health
  • Behavioral Science

Background:

  • Physical inactivity and sedentary behavior are significant public health issues linked to non-communicable diseases and increased healthcare costs.
  • Technology-based interventions (wearable devices, mHealth apps, AI) are increasingly used to promote physical activity and reduce sedentary time in adults.
  • Existing evidence is fragmented across different intervention types, targets, and populations.

Purpose of the Study:

  • To map recent literature on digital interventions for promoting active lifestyles in adults.
  • To specifically examine their impact on physical activity promotion and sedentary behavior reduction.

Main Methods:

  • Scoping review conducted following PRISMA-ScR guidelines.
  • Searched PubMed and Scopus for studies (2022-2026) on digital technologies, physical activity, and sedentary behavior in adults.
Keywords:
digital healthmHealth interventionsphysical activitysedentary behaviorwearable devices

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  • Included 35 studies after screening and eligibility assessment, synthesizing data narratively.

    • Main Results:

    • Interventions included wearable devices, adaptive systems (AI, gamification), advanced technologies (IoT, exoskeletons), and hybrid models.
    • Generally effective in increasing step count, moderate-to-vigorous physical activity, and adherence to movement behaviors.
    • Less consistent effectiveness in reducing sedentary behavior, dependent on context-sensitive prompting and multicomponent/hybrid models.

    Conclusions:

    • Digital health interventions show promise for physical activity promotion but have limited, heterogeneous impact on sedentary behavior reduction.
    • Increasing exercise alone is insufficient; tailored, adaptive, and context-aware approaches are needed to address prolonged sitting.
    • Future research should focus on methodological standardization, longer follow-ups, and interventions targeting sedentary time interruption across diverse adult populations.